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Introduction to the special issue on multilayer networks

Published online by Cambridge University Press:  06 June 2017

MATTEO MAGNANI and
STANLEY WASSERMAN
MATTEO MAGNANI
Affiliation:
Computing Science Division, IT Department, Uppsala University, Uppsala, Sweden (e-mail: matteo.magnani@it.uu.se)
STANLEY WASSERMAN
Affiliation:
Departments of Psychological and Brain Science and Statistics, Indiana University, Bloomington, USANational Research University Higher School of Economics, Moscow, Russia (e-mail: stanwass@indiana.edu)
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During the last century, networks of several types have been used to model a wide range of physical, biological and social systems. For example, Moreno (1934) studied social networks with multiple types of ties, later called multiplex networks (Verbrugge, 1979; Minor, 1983; Lazega & Pattison, 1999) as well as networks with multiple types of actors. Networks with multiple types of actors and relational ties have often been used together: relevant examples are the extensions of two-mode networks studied by Wasserman & Iacobucci (1991), multi-level networks (Lazega & Snijders, 2016), and heterogeneous information networks (Sun et al., 2012). More recently, researchers in physics and computer science have developed models for different types of interconnected networks known as networks of networks (Buldyrev et al., 2010; D'Agostino & Scala, 2014), multilayer social networks (Magnani & Rossi, 2011), and interconnected networks (Dickison et al., 2012).

Information

Type
Introduction
Information
Network Science , Volume 5 , Special Issue 2: Modeling, Analysis, and Mining of Multilayer Networks , June 2017, pp. 141 - 143
Copyright
Copyright © Cambridge University Press 2017 

References

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